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BlocksArtifacts
JSON Render PDF
JSON Render PDF
Generate PDF documents from natural language using @json-render/react-pdf. Describe a document or refine examples to create professional PDFs with streaming spec and live preview.
Use this when your app must turn prompts or refined examples into PDF files while keeping the model limited to approved react-pdf components.
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Problems solved
Technical challenges this implementation handles out of the box.
- Generate PDF documents from natural language with @json-render/react-pdf
- Stream document specs into a live PDF preview
- Constrain outputs to a react-pdf component catalog
Use cases
Products and workflows this pattern is designed to support.
- Invoice generation
- Report creation
- Resume building
- Document automation demos
Compare with
Similar patterns, and when each one is the better fit.
JSON Render ReactUse this when you want to define your own small component catalog and render streamed JSON specs with the base @json-render React renderer.
JSON Render ImageUse this when users describe a social card or marketing graphic in plain language and need a downloadable SVG or PNG image as the result.
JSON Render Three.jsUse this when users describe a 3D scene in plain language and need it streamed as a live React Three Fiber render they can orbit right away.
JSON Render EmailUse this when you need to turn a prompt into a React Email template and copy out its HTML and plain-text versions after previewing it.
Setup
Requirements, wiring steps, and what this pattern adds to your project.
Getting started
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
- 1
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
- 2
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
- 3
Fill .env.local
The download includes .env.local placeholders when needed. Add real values for: AI_GATEWAY_API_KEY.
- 4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
- 5
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
Environment variables
AI_GATEWAY_API_KEYGet key
Capabilities
AI SDK APIs
streamTextgatewayProviders
Gemini
External services
Upstash
Files added
10 files
app/page.tsxapp/layout.tsxapp/api/json-render-pdf-generate/route.tsapp/api/pdf/route.tscomponents/json-render-pdf-demo.tsxcomponents/empty-state.tsxlib/catalog.tslib/examples.tslib/rate-limit.tsREADME.md
Dependencies
14 total
npm packages
10@json-render/core@json-render/react-pdfUpstashAISDKlucide-reactNext.jsReactZodmotionsonner
Registry components
buttonemptyinputscroll-area
Critical files
2 files
lib/catalog.tsPDF catalog definitions using defineCatalog with react-pdf components. Exports pdfCatalog for API prompt and rendering.
json-render-pdf-generate/route.tsAPI route for PDF generation. Uses streamText with pdfCatalog.prompt() as system prompt. Includes rate limiting.
Requirements
- Complexity
- Intermediate
- Setup time
- ~5 minutes
- Node
- 24+
- Memory
- 256MB
Upstash Redis
